eMindLog: Self-Measurement of Anxiety and Depression Using Mobile Technology
Quantifying anxiety and depressive experiences permits individuals to calibrate where they are and monitor intervention-associated changes. eMindLog is a novel self-report measure for anxiety and depression that is grounded in psychology with an organizing structure based on neuroscience. Our aim wa...
Saved in:
Published in | JMIR research protocols Vol. 6; no. 5; p. e98 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Canada
JMIR Publications
24.05.2017
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Quantifying anxiety and depressive experiences permits individuals to calibrate where they are and monitor intervention-associated changes. eMindLog is a novel self-report measure for anxiety and depression that is grounded in psychology with an organizing structure based on neuroscience.
Our aim was to explore the psychometric properties of eMindLog in a nonclinical sample of subjects.
In a cross-sectional study of eMindLog, a convenience sample of 198 adults provided informed consent and completed eMindLog and the Hospital Anxiety and Depression Scale (HADS) as a reference. Brain systems (eg, negative and positive valence systems, cognitive systems) and their functional states that drive behavior are measured daily as emotions, thoughts, and behaviors. Associated symptoms, quality of life, and functioning are assessed weekly. eMindLog offers ease of use and expediency, using mobile technology across multiple platforms, with dashboard reporting of scores. It enhances precision by providing distinct, nonoverlapping description of terms, and accuracy through guidance for scoring severity.
eMindLog daily total score had a Cronbach alpha of .94. Pearson correlation coefficient for eMindLog indexes for anxiety and sadness/anhedonia were r=.66 (P<.001) and r=.62 (P<.001) contrasted with the HADS anxiety and depression subscales respectively. Of 195 subjects, 23 (11.8%) had cross-sectional symptoms above the threshold for Generalized Anxiety Disorder and 29 (29/195, 14.9%) for Major Depressive Disorder. Factor analysis supported the theoretically derived index derivatives for anxiety, anger, sadness, and anhedonia.
eMindLog is a novel self-measurement tool to measure anxiety and depression, demonstrating excellent reliability and strong validity in a nonclinical population. Further studies in clinical populations are necessary for fuller validation of its psychometric properties. Self-measurement of anxiety and depressive symptoms with precision and accuracy has several potential benefits, including case detection, tracking change over time, efficacy assessment of interventions, and exploration of potential biomarkers. |
---|---|
AbstractList | BACKGROUNDQuantifying anxiety and depressive experiences permits individuals to calibrate where they are and monitor intervention-associated changes. eMindLog is a novel self-report measure for anxiety and depression that is grounded in psychology with an organizing structure based on neuroscience. OBJECTIVEOur aim was to explore the psychometric properties of eMindLog in a nonclinical sample of subjects. METHODSIn a cross-sectional study of eMindLog, a convenience sample of 198 adults provided informed consent and completed eMindLog and the Hospital Anxiety and Depression Scale (HADS) as a reference. Brain systems (eg, negative and positive valence systems, cognitive systems) and their functional states that drive behavior are measured daily as emotions, thoughts, and behaviors. Associated symptoms, quality of life, and functioning are assessed weekly. eMindLog offers ease of use and expediency, using mobile technology across multiple platforms, with dashboard reporting of scores. It enhances precision by providing distinct, nonoverlapping description of terms, and accuracy through guidance for scoring severity. RESULTSeMindLog daily total score had a Cronbach alpha of .94. Pearson correlation coefficient for eMindLog indexes for anxiety and sadness/anhedonia were r=.66 (P<.001) and r=.62 (P<.001) contrasted with the HADS anxiety and depression subscales respectively. Of 195 subjects, 23 (11.8%) had cross-sectional symptoms above the threshold for Generalized Anxiety Disorder and 29 (29/195, 14.9%) for Major Depressive Disorder. Factor analysis supported the theoretically derived index derivatives for anxiety, anger, sadness, and anhedonia. CONCLUSIONSeMindLog is a novel self-measurement tool to measure anxiety and depression, demonstrating excellent reliability and strong validity in a nonclinical population. Further studies in clinical populations are necessary for fuller validation of its psychometric properties. Self-measurement of anxiety and depressive symptoms with precision and accuracy has several potential benefits, including case detection, tracking change over time, efficacy assessment of interventions, and exploration of potential biomarkers. Quantifying anxiety and depressive experiences permits individuals to calibrate where they are and monitor intervention-associated changes. eMindLog is a novel self-report measure for anxiety and depression that is grounded in psychology with an organizing structure based on neuroscience. Our aim was to explore the psychometric properties of eMindLog in a nonclinical sample of subjects. In a cross-sectional study of eMindLog, a convenience sample of 198 adults provided informed consent and completed eMindLog and the Hospital Anxiety and Depression Scale (HADS) as a reference. Brain systems (eg, negative and positive valence systems, cognitive systems) and their functional states that drive behavior are measured daily as emotions, thoughts, and behaviors. Associated symptoms, quality of life, and functioning are assessed weekly. eMindLog offers ease of use and expediency, using mobile technology across multiple platforms, with dashboard reporting of scores. It enhances precision by providing distinct, nonoverlapping description of terms, and accuracy through guidance for scoring severity. eMindLog daily total score had a Cronbach alpha of .94. Pearson correlation coefficient for eMindLog indexes for anxiety and sadness/anhedonia were r=.66 (P<.001) and r=.62 (P<.001) contrasted with the HADS anxiety and depression subscales respectively. Of 195 subjects, 23 (11.8%) had cross-sectional symptoms above the threshold for Generalized Anxiety Disorder and 29 (29/195, 14.9%) for Major Depressive Disorder. Factor analysis supported the theoretically derived index derivatives for anxiety, anger, sadness, and anhedonia. eMindLog is a novel self-measurement tool to measure anxiety and depression, demonstrating excellent reliability and strong validity in a nonclinical population. Further studies in clinical populations are necessary for fuller validation of its psychometric properties. Self-measurement of anxiety and depressive symptoms with precision and accuracy has several potential benefits, including case detection, tracking change over time, efficacy assessment of interventions, and exploration of potential biomarkers. |
Author | Ninan, Philip T Penders, Thomas M Wuensch, Karl L |
AuthorAffiliation | 3 Brody School of Medicine Department of Psychiatry and Behavioral Medicine East Carolina University Washington, NC United States 1 Brody School of Medicine Department of Psychiatry and Behavioral Medicine East Carolina University Greenville, NC United States 2 East Carolina University Department of Psychology East Carolina University Greenville, NC United States |
AuthorAffiliation_xml | – name: 2 East Carolina University Department of Psychology East Carolina University Greenville, NC United States – name: 1 Brody School of Medicine Department of Psychiatry and Behavioral Medicine East Carolina University Greenville, NC United States – name: 3 Brody School of Medicine Department of Psychiatry and Behavioral Medicine East Carolina University Washington, NC United States |
Author_xml | – sequence: 1 givenname: Thomas M orcidid: 0000-0002-1529-2726 surname: Penders fullname: Penders, Thomas M organization: Brody School of Medicine, Department of Psychiatry and Behavioral Medicine, East Carolina University, Greenville, NC, United States – sequence: 2 givenname: Karl L orcidid: 0000-0002-7024-8103 surname: Wuensch fullname: Wuensch, Karl L organization: East Carolina University, Department of Psychology, East Carolina University, Greenville, NC, United States – sequence: 3 givenname: Philip T orcidid: 0000-0001-6633-1142 surname: Ninan fullname: Ninan, Philip T organization: Brody School of Medicine, Department of Psychiatry and Behavioral Medicine, East Carolina University, Washington, NC, United States |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28539304$$D View this record in MEDLINE/PubMed |
BookMark | eNpVkc1LAzEQxYMoWrU3z7JHD27N5ybxIIjf0OLB9hx2s7M1sk1qshX737tiLTqXGZgfbx7zDtGuDx4QOiF4RIkuLiKkZQzdSHIud9CAaKpzLLna_TMfoGFKb7gvJaWmxT46oEowzTAfoDFMnK_HYX6ZvUDb5BMo0yrCAnyXhSa79p8OunVW-jq7hWV_Lrngs1lyfp5NQuVayKZgX31ow3x9jPaask0w3PQjNLu_m9485uPnh6eb63FuaUG6vCiIosAlE7XCVDJd1tbWrKGC1U0lSKMsxVYKWlHWM7TGivBCKi0wrbAW7Ahd_eguV9UCatubjWVrltEtyrg2oXTm_8a7VzMPH0bwgmHBe4GzjUAM7ytInVm4ZKFtSw9hlQzRmHKFlSY9ev6D2hhSitBszxBsvjMwmwzMdwY9fvrX2hb-_Tj7Aq37hXY |
CitedBy_id | crossref_primary_10_15406_jpcpy_2017_08_00468 |
Cites_doi | 10.1176/appi.ajp.162.12.2395 10.1038/nm.4246 10.1146/annurev.neuro.29.051605.112851 10.1176/appi.ajp.2016.16050518 10.1046/j.1525-1497.2001.016009606.x 10.1016/j.biopsych.2005.08.022 10.1097/00004850-199606003-00015 10.1016/j.cell.2016.02.039 10.1016/j.tins.2011.11.005 10.1111/j.1600-0447.1983.tb09716.x 10.1016/S0022-3999(01)00296-3 10.2147/NDT.S53425 10.3389/fnhum.2014.00006 10.1177/009286159302700245 10.1523/JNEUROSCI.18-01-00411.1998 10.1002/wps.20087 10.2196/jmir.5726 10.1016/S2215-0366(15)00579-9 10.1016/j.chb.2014.04.043 10.1002/da.21993 10.1016/j.jpsychires.2010.04.032 10.1038/nrn1432 10.1007/s00422-014-0603-9 |
ContentType | Journal Article |
Copyright | Thomas M Penders, Karl L Wuensch, Philip T Ninan. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.05.2017. Thomas M Penders, Karl L Wuensch, Philip T Ninan. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.05.2017. 2017 |
Copyright_xml | – notice: Thomas M Penders, Karl L Wuensch, Philip T Ninan. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.05.2017. – notice: Thomas M Penders, Karl L Wuensch, Philip T Ninan. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.05.2017. 2017 |
DBID | NPM AAYXX CITATION 7X8 5PM |
DOI | 10.2196/resprot.7447 |
DatabaseName | PubMed CrossRef MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | PubMed CrossRef MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic PubMed |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1929-0748 |
EndPage | e98 |
ExternalDocumentID | 10_2196_resprot_7447 28539304 |
Genre | Journal Article |
GroupedDBID | 53G 5VS 7RV 7X7 8C1 8FI 8FJ AAFWJ ABUWG ADBBV ADRAZ AFKRA AFPKN ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV BENPR CCPQU DIK FYUFA GROUPED_DOAJ HMCUK HYE KQ8 M48 M~E NAPCQ NPM OK1 PGMZT PIMPY RPM UKHRP AAYXX CITATION 7X8 5PM |
ID | FETCH-LOGICAL-c261t-66182e4735d802739adccd3f253dfb51f8c20c752b2335d2d08146789502b0953 |
IEDL.DBID | RPM |
ISSN | 1929-0748 |
IngestDate | Tue Sep 17 21:20:15 EDT 2024 Fri Aug 16 22:24:34 EDT 2024 Fri Aug 23 03:20:25 EDT 2024 Sat Sep 28 08:51:02 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 5 |
Keywords | mobile anxiety depression internet measurement |
Language | English |
License | Thomas M Penders, Karl L Wuensch, Philip T Ninan. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.05.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c261t-66182e4735d802739adccd3f253dfb51f8c20c752b2335d2d08146789502b0953 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0002-7024-8103 0000-0002-1529-2726 0000-0001-6633-1142 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463054/ |
PMID | 28539304 |
PQID | 1902480891 |
PQPubID | 23479 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_5463054 proquest_miscellaneous_1902480891 crossref_primary_10_2196_resprot_7447 pubmed_primary_28539304 |
PublicationCentury | 2000 |
PublicationDate | 20170524 |
PublicationDateYYYYMMDD | 2017-05-24 |
PublicationDate_xml | – month: 5 year: 2017 text: 20170524 day: 24 |
PublicationDecade | 2010 |
PublicationPlace | Canada |
PublicationPlace_xml | – name: Canada – name: Toronto, Canada |
PublicationTitle | JMIR research protocols |
PublicationTitleAlternate | JMIR Res Protoc |
PublicationYear | 2017 |
Publisher | JMIR Publications |
Publisher_xml | – name: JMIR Publications |
References | 24478672 - Front Hum Neurosci. 2014 Jan 24;8:6 24511231 - Neuropsychiatr Dis Treat. 2014 Jan 28;10:153-65 16330617 - Am J Psychiatry. 2005 Dec;162(12):2395; author reply 2397-8 8923116 - Int Clin Psychopharmacol. 1996 Jun;11 Suppl 3:89-95 24497240 - World Psychiatry. 2014 Feb;13(1):28-35 20537348 - J Psychiatr Res. 2011 Jan;45(1):96-103 22933451 - Depress Anxiety. 2012 Dec;29(12):1043-9 11556941 - J Gen Intern Med. 2001 Sep;16(9):606-13 9412517 - J Neurosci. 1998 Jan 1;18(1):411-8 6880820 - Acta Psychiatr Scand. 1983 Jun;67(6):361-70 27150382 - Lancet Psychiatry. 2016 May;3(5):472-80 18558860 - Annu Rev Neurosci. 2008;31:359-87 11832252 - J Psychosom Res. 2002 Feb;52(2):69-77 22177980 - Trends Neurosci. 2012 Jan;35(1):68-77 16199008 - Biol Psychiatry. 2006 Mar 15;59(6):493-501 27918562 - Nat Med. 2017 Jan;23 (1):28-38 27349441 - J Med Internet Res. 2016 Jun 27;18(6):e156 24939580 - Biol Cybern. 2014 Oct;108(5):573-93 15208700 - Nat Rev Neurosci. 2004 Jul;5(7):583-9 28335622 - Am J Psychiatry. 2017 Jun 1;174(6):533-545 26967292 - Cell. 2016 Mar 10;164(6):1269-76 ref13 ref12 Grayetter, F (ref26) 2014 ref15 ref14 ref11 ref10 ref2 Hofstadter, D (ref1) 2007 ref17 ref16 ref18 Zigmond, AS (ref24) 1983; 67 ref23 Kroenke, K (ref4) 2001; 16 Damasio, A (ref19) 2000 ref22 ref21 Whalen, PJ (ref20) 1998; 18 ref28 ref8 ref7 ref9 ref3 ref6 ref5 Sheehan, DV (ref25) 1996; 11 Suppl 3 Bjelland, I (ref27) 2002; 52 |
References_xml | – ident: ref28 doi: 10.1176/appi.ajp.162.12.2395 – ident: ref12 doi: 10.1038/nm.4246 – ident: ref23 doi: 10.1146/annurev.neuro.29.051605.112851 – start-page: 60 year: 2007 ident: ref1 publication-title: I Am A Strange Loop contributor: fullname: Hofstadter, D – ident: ref14 doi: 10.1176/appi.ajp.2016.16050518 – volume: 16 start-page: 606 issue: 9 year: 2001 ident: ref4 publication-title: J Gen Intern Med doi: 10.1046/j.1525-1497.2001.016009606.x contributor: fullname: Kroenke, K – ident: ref5 doi: 10.1016/j.biopsych.2005.08.022 – volume: 11 Suppl 3 start-page: 89 year: 1996 ident: ref25 publication-title: Int Clin Psychopharmacol doi: 10.1097/00004850-199606003-00015 contributor: fullname: Sheehan, DV – ident: ref22 doi: 10.1016/j.cell.2016.02.039 – ident: ref11 – ident: ref21 doi: 10.1016/j.tins.2011.11.005 – volume: 67 start-page: 361 issue: 6 year: 1983 ident: ref24 publication-title: Acta Psychiatr Scand doi: 10.1111/j.1600-0447.1983.tb09716.x contributor: fullname: Zigmond, AS – volume: 52 start-page: 69 issue: 2 year: 2002 ident: ref27 publication-title: J Psychosom Res doi: 10.1016/S0022-3999(01)00296-3 contributor: fullname: Bjelland, I – ident: ref6 doi: 10.2147/NDT.S53425 – ident: ref17 doi: 10.3389/fnhum.2014.00006 – ident: ref7 doi: 10.1177/009286159302700245 – volume: 18 start-page: 411 issue: 1 year: 1998 ident: ref20 publication-title: J Neurosci doi: 10.1523/JNEUROSCI.18-01-00411.1998 contributor: fullname: Whalen, PJ – ident: ref10 doi: 10.1002/wps.20087 – ident: ref15 doi: 10.2196/jmir.5726 – ident: ref13 doi: 10.1016/S2215-0366(15)00579-9 – year: 2014 ident: ref26 publication-title: Essentials of statistics for the behavioral sciences (8th ed.) contributor: fullname: Grayetter, F – ident: ref16 doi: 10.1016/j.chb.2014.04.043 – ident: ref2 doi: 10.1002/da.21993 – year: 2000 ident: ref19 publication-title: The Feeling of What Happens: Body and Emotion in the Making of Consciousness contributor: fullname: Damasio, A – ident: ref18 – ident: ref3 doi: 10.1016/j.jpsychires.2010.04.032 – ident: ref8 doi: 10.1038/nrn1432 – ident: ref9 doi: 10.1007/s00422-014-0603-9 |
SSID | ssj0000877926 |
Score | 2.041615 |
Snippet | Quantifying anxiety and depressive experiences permits individuals to calibrate where they are and monitor intervention-associated changes. eMindLog is a novel... BACKGROUNDQuantifying anxiety and depressive experiences permits individuals to calibrate where they are and monitor intervention-associated changes. eMindLog... |
SourceID | pubmedcentral proquest crossref pubmed |
SourceType | Open Access Repository Aggregation Database Index Database |
StartPage | e98 |
SubjectTerms | Original Paper |
SummonAdditionalLinks | – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1dS8MwFL3MCeKL-G39IoI-ZqRpu6SCyFDHkNUXHeytNG2qwmh1HzD_vblduznnk89N-nCS5p57c3ouwCXTTCitOVXC1dS1JaNKSZ_aionIxhZGxY_CwVOz03Mf-16_BlW30RLA0Z-pHfaT6g0Hjenn16354G9Qxmw2ELpso6lBQ7iuWIN1bmIiiruCkugXZ7IUwufNmfJ9ZRI6Apuw5Ttlu7Z5eFrhnL-lkz9iUXsbtkoSSVqzVd-Bms52YSMor8n3oKsDk2p389dr8qwHKQ0WhUCSp6SVTVGpSaIsIfeVEjYjhXqABLkyBwVZlNz3odd-eLnr0LJtAo1NOjSmJuJKrrGlcCLRrcaPkjhOnJR7TpIqz05lzFksPK64Y8bwhGEZUEjfY1yh_dwB1LM800dAkqaZaftxk2nH5TFXhgwqrlN06dKOHVlwVaEVfszcMUKTVSDAYQlwiABbcFFBGZrti3cSUabzySg0fIS7kknftuBwBu38TdWaWCCWQJ8PQGvs5SfZ-1thkY0m_4aMHv975glscgzgzKPcPYX6eDjRZ4Z-jNV5sbO-Ad5X3eg priority: 102 providerName: Scholars Portal |
Title | eMindLog: Self-Measurement of Anxiety and Depression Using Mobile Technology |
URI | https://www.ncbi.nlm.nih.gov/pubmed/28539304 https://search.proquest.com/docview/1902480891 https://pubmed.ncbi.nlm.nih.gov/PMC5463054 |
Volume | 6 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEB58gHgR366PJYIes5umaZN601URsSI-YG-lSVMVNBVdwZ_vpNuur5uXXJqU8mWamUm-fAOwxyyT2lpOtRSWikAxqrVKaKCZzANfwqi-KJxexmd34nwYDacgau_C1KR9ox977um55x4fam7ly7Pptzyx_lU68BLuGGr0p2Ea3e-3FL1efpWUCY_HJHf8H2Ovwu1FD3pSCF9zj6OHSsKmMtvEE_0JL3-zJL-5ndNFWGjiRXI4_q4lmLJuGebS5kR8BS5siln1RXV_QG7sU0nTrz0_UpXk0H14UibJXUGOW9KrIzVRgKSVxjWBfO2ur8Ld6cnt4Iw2FRKowcxnRNG5Km599eBCeWGaJC-MKcKSR2FR6igoleHMyIhrHmIfXjC_4ydVEjGuvdLcGsy4ytkNIEWMI4PExMyGghuuMe7T3JZekMuGQd6B_Rat7GUshJFhAuEBzhqAMw9wB3ZbKDO0VH_8kDtbvb9lGHpwoZhKgg6sj6GdvKmdkw7IH6BPOngV7J9P0DhqNezGGDb_PXIL5rn31SyiXGzDzOj13e5gpDHSXbSvocRWDYIuzB6dXF5dd-usHdtUqG5teZ99r9sw |
link.rule.ids | 230,314,727,780,784,864,885,2221,24318,27924,27925,31720,33267,33745,53791,53793 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bS8MwFD7MCeqLeHdeI-hjtjS9JPVtTMfUdQhO8K00aaoDTYdu4M836drp9M3nJqV8Pcm55Mt3AM6JIkwoRbFgnsKewwkWgofYEYQljm1hVFwUjgZB79G7ffKfauBXd2EK0r4Uo6Z-fWvq0UvBrRy_yVbFE2vdRx0r4W5CjdYSLPsuC50fSXqxAXPGQhrMaO5mRQZWh9vKHjSZ59mue9T4qNAte7PNfdGfAPM3T_KH4-luwHoZMaL27Ms2oab0FqxE5Zn4NvRVZPLqfv58iR7Ua4aj76ofyjPU1p-WlokSnaKrivaqUUEVQFEuzK6AvuvrO_DYvR52erjskYClyX0m2LhXTpXtH5xyK00TJqmUqZtR300z4TsZl5RI5lNBXTOGpsTW_BgPfUKF1ZrbhbrOtdoHlAZmphPKgCjXo5IKE_kJqjIryaVcJ2nARYVWPJ5JYcQmhbAAxyXAsQW4AWcVlLGxVXsAkWiVTz9iE3xQjxMeOg3Ym0E7f1P1TxrAFkCfD7A62ItPjHkUetilORz8e-YprPaGUT_u3wzuDmGNWs9NfEy9I6hP3qfq2MQdE3FSWNkX2nHZaA |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bS8MwFD7oBPFFvFuvEfQxW5pekvo21OFlHYIO9laaNNXBTIdO8OebdO3c9M3nJqV8Pc05J_n6fQDnRBEmlKJYMF9h3-UEC8Ej7ArCUtdaGJU_Cse98Lbv3w-CwZzVV0nal2LY1KO3ph6-ltzK8Zts1Tyx1mN8ZSXcTanRGmd5axlWAs8E2VyjXi7CnLGIhlOqu_kqQ6vFbaUPmsz3rfMeNXkq8ip_tlk--lNk_uZKziWfzgasV1Ujak-fbhOWlN6C1bg6F9-GropNb90tXi7RkxrlOP7Z-UNFjtr6y1IzUaozdF1TXzUq6QIoLoRZGdDPHvsO9Ds3z1e3uPJJwNL0PxNsUiynynoIZ9zK00RpJmXm5TTwslwEbs4lJZIFVFDPjKEZsft-jEcBocLqze1CQxda7QPKQjPTjWRIlOdTSYWp_gRVuZXlUp6bOnBRo5WMp3IYiWkjLMBJBXBiAXbgrIYyMfFqDyFSrYrPj8QUINTnhEeuA3tTaGd3qt-JA2wB9NkAq4W9eMWESKmJXYXEwb9nnsLq43Un6d71Hg5hjdrkTQJM_SNoTN4_1bEpPSbipAyyb_892ns |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=eMindLog%3A+Self-Measurement+of+Anxiety+and+Depression+Using+Mobile+Technology&rft.jtitle=JMIR+research+protocols&rft.au=Penders%2C+Thomas+M&rft.au=Wuensch%2C+Karl+L&rft.au=Ninan%2C+Philip+T&rft.date=2017-05-24&rft.pub=JMIR+Publications&rft.eissn=1929-0748&rft.volume=6&rft.issue=5&rft_id=info:doi/10.2196%2Fresprot.7447&rft_id=info%3Apmid%2F28539304&rft.externalDBID=PMC5463054 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1929-0748&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1929-0748&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1929-0748&client=summon |